{"id":"https://openalex.org/W2738057177","doi":"https://doi.org/10.1109/expat.2017.7984416","title":"Temperature time series: Pattern analysis and forecasting","display_name":"Temperature time series: Pattern analysis and forecasting","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2738057177","doi":"https://doi.org/10.1109/expat.2017.7984416","mag":"2738057177"},"language":"en","primary_location":{"id":"doi:10.1109/expat.2017.7984416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/expat.2017.7984416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th Experiment@International Conference (exp.at'17)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054347079","display_name":"Manuel R. Barbosa","orcid":"https://orcid.org/0000-0001-8112-5689"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Manuel Romano Barbosa","raw_affiliation_strings":["UISPA\u2013LAETA/INEGI, University of Porto, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"UISPA\u2013LAETA/INEGI, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024823282","display_name":"Ant\u00f3nio M. Lopes","orcid":"https://orcid.org/0000-0001-7359-4370"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210121509","display_name":"Institute of Mechanical Engineering and Industrial Mangement","ror":"https://ror.org/02pk7c879","country_code":"PT","type":"facility","lineage":["https://openalex.org/I182534213","https://openalex.org/I4210121509"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Antonio M. Lopes","raw_affiliation_strings":["UISPA\u2013LAETA/INEGI, University of Porto, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"UISPA\u2013LAETA/INEGI, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210121509","https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054347079"],"corresponding_institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210121509"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56682536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31999","issue":null,"first_page":"226","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.7470683455467224},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7064521312713623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897298693656921},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6870081424713135},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6849682331085205},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6237106323242188},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.523044228553772},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4298834502696991},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.429622620344162},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4214446246623993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39891695976257324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35600554943084717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3395717740058899},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13462397456169128},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07356598973274231}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7470683455467224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7064521312713623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897298693656921},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6870081424713135},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6849682331085205},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6237106323242188},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.523044228553772},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4298834502696991},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.429622620344162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4214446246623993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39891695976257324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35600554943084717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3395717740058899},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13462397456169128},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07356598973274231},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/expat.2017.7984416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/expat.2017.7984416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th Experiment@International Conference (exp.at'17)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W81813850","https://openalex.org/W163612977","https://openalex.org/W1554663460","https://openalex.org/W1586335931","https://openalex.org/W1823937713","https://openalex.org/W1885889261","https://openalex.org/W1982821459","https://openalex.org/W1988845048","https://openalex.org/W2007221293","https://openalex.org/W2053594700","https://openalex.org/W2057423435","https://openalex.org/W2069508080","https://openalex.org/W2074415591","https://openalex.org/W2077640225","https://openalex.org/W2088202114","https://openalex.org/W2088218958","https://openalex.org/W2117829824","https://openalex.org/W2123513648","https://openalex.org/W2130802466","https://openalex.org/W2168353136","https://openalex.org/W2172070753","https://openalex.org/W2182886880","https://openalex.org/W2268394201","https://openalex.org/W2482719912","https://openalex.org/W2511146887","https://openalex.org/W2588903206","https://openalex.org/W2589454484","https://openalex.org/W2768649190","https://openalex.org/W4253860938","https://openalex.org/W6606628390"],"related_works":["https://openalex.org/W2364188284","https://openalex.org/W116012085","https://openalex.org/W2905220255","https://openalex.org/W2189003114","https://openalex.org/W2078332635","https://openalex.org/W2387231345","https://openalex.org/W2108583803","https://openalex.org/W2360197403","https://openalex.org/W4283516365","https://openalex.org/W2135851524"],"abstract_inverted_index":{"This":[0],"paper":[1],"uses":[2],"time-frequency":[3,75],"methods":[4,38],"and":[5,11,33,69],"neural":[6,51],"networks":[7,52],"for":[8,55,77],"the":[9,22,30,34,45,63,66,79],"analysis":[10],"forecasting":[12,56,81],"of":[13,29,65],"indoor":[14],"temperature":[15],"time":[16,23],"series.":[17],"In":[18,47],"a":[19,48],"first":[20],"phase,":[21,50],"series":[24],"are":[25,53],"processed":[26],"by":[27],"means":[28],"Fourier":[31],"transform":[32],"empirical":[35],"mode":[36],"decomposition":[37],"to":[39],"unveil":[40],"temporal":[41],"patterns":[42],"embedded":[43],"in":[44],"data.":[46],"second":[49],"adopted":[54],"future":[57],"values.":[58],"The":[59],"results":[60],"obtained":[61],"illustrate":[62],"effectiveness":[64],"tools":[67],"used":[68],"motivate":[70],"further":[71],"developments":[72],"based":[73],"on":[74],"techniques":[76],"designing":[78],"NN":[80],"approach.":[82]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}